Lehrinhalte
Introduction on statistical methods; data presentation; elementary statistics, e.g. t-tests, F-tests, chi-square tests, analysis of variance, non-parametric tests; analysis of multi­variate data, e.g. cluster analysis, PCA, CA, DCA; time series analysis, e.g. analysis of stationary and non-stationary data; PC-based exercises.
 

Literature
Chilès, J.-P. & Delfiner, P. (1999): Geostatistics.- 720 p.; New York (Wiley & Sons).
Davis, J.C. (2003): Statistics and Data Analysis in Geology.- 638 p.; New York (Wiley & Sons).
Isaaks, E.H. (1989): Applied Geostatistics.- New York.
Goovaerts, P. (1999): Geostatistics for Natural Resources Evaluation.- Oxford.
Townend, J. (2002): Practical statistics for environmental and biological scientists.- 276 p.; New York (Wiley & Sons).
Webster, R. & Oliver M.A. (2007): Geostatistics for Environmental Scientists.- 336 p.; New York (Wiley & Sons).
 

Online-Angebote
Moodle

Semester: ST 2022